Instructions to use SG161222/RealVisXL_V3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/RealVisXL_V3.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V3.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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license: openrail++
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license: openrail++
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<b>It's important! Read it!</b><br>
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The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.<br>
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The model is aimed at photorealism. Can produce sfw and nsfw images of decent quality.<br>
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CivitAI Page: ---<br>
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<b>Recommended Negative Prompt:</b><br>
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(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth<br>
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<b>or another negative prompt</b><br>
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<b>Recommended Generation Parameters:</b><br>
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Sampling Steps: 15-30<br>
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Sampling Method: DPM++ SDE Karras<br>
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